| Name : R-densityClust
| |
| Version : 0.3.3
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp154.1.2
| Date : 2024-09-10 21:00:04
|
| Group : Development/Libraries/Other
| Source RPM : R-densityClust-0.3.3-lp154.1.2.src.rpm
|
| Size : 0.21 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Clustering by Fast Search and Find of Density Peaks
|
Description :
An improved implementation (based on k-nearest neighbors) of the
density peak clustering algorithm, originally described by Alex
Rodriguez and Alessandro Laio (Science, 2014 vol. 344). It can handle
large datasets (> 100,000 samples) very efficiently. It was initially
implemented by Thomas Lin Pedersen, with inputs from Sean Hughes and
later improved by Xiaojie Qiu to handle large datasets with kNNs.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
